GitHub
memory-summary-retrieve
Retrieve memory summaries by ID, project, or recency. Returns structured JSON with compression metrics. Use to access compressed historical context for LLM prompts.
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whiteboardev AI Skills
GitHub ↗浏览 whiteboardev 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
9收录技能的仓库 Stars 合计
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0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
memory-retrieve
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
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GitHub
remember
Store and retrieve memories using the BrAIny REST API. Use this skill to persist facts, notes, and messages about the user or conversation. Automatically stores context when the context window is reaching its l...
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GitHub
index
Index codebases for semantic code search. Use this skill to make a project's source code searchable via vector similarity, enabling natural language queries like "how does authentication work" or "find the data...
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GitHub
codebase-index
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
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GitHub
orchestrator
Manage stories, plans, and tasks in the multi-model orchestrator. Use this skill to create feature requests, generate implementation plans, and execute tasks using different Claude models (Opus, Sonnet, Haiku).
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GitHub
codebase-index
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
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GitHub
memory-summarize
Compress memories into structured summaries using low-cost AI models (Claude Haiku, GPT-4o-mini). Triggers when memory count exceeds 50 or token estimate exceeds 40000. Outputs structured JSON with compression...
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GitHub
context-preserve
Preserves session context when context window fills. Triggers at configurable thresholds (50%/75%). Captures objective, progress, technical details, decisions, blockers, and next steps.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。